Web Page Classification Using Sentiment Analysis and Natural Language Processing

Authors

  • Dr. Madhusudanan J  Professor, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Madagadipet, Puducherry, Tamil Nadu, India
  • Shivcharan B  B. Tech, Scholar, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Madagadipet, Puducherry, Tamil Nadu, India
  • Jagan R  B. Tech, Scholar, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Madagadipet, Puducherry, Tamil Nadu, India
  • Gladson Solomon S  B. Tech, Scholar, Department of Computer Science and Engineering, Sri Manakula Vinayagar Engineering College, Madagadipet, Puducherry, Tamil Nadu, India

Keywords:

Classification, Web Content Mining, Quality, Schema matching, Segmentation, Knowledge synthesis.

Abstract

During past 10 years, the technology has improved really great in the field of web Technology and integration of a web pages with each other to form a websites has improved far way when compared to 19th century. Plagiarism plays a major role in contents of web page recently. Illegal and addictive content contaminate the quality of websites. This is becoming a major issue and must be solved is an efficient manner. So we came up with an idea of introducing classifications in web pages based on credit points that specifies the quality of website based on its CONTENT and QUALITY. Web mining under Data mining with help of Search Engine Optimization provides solution to this problem. Web content mining allows us to use the techniques of information extraction, integration, schema matching, knowledge synthesis and segmentation of web pages which in turn allows the content of web pages to be processed and provide a result based analysis.

References

  1. Aditya Jain,Gandhar Kulkarni,Vraj Shah,"Natural Language Processing" in International Journal of Computer Science and Engineering, Volume 6 Issue I, January 2018.
  2. Jagan.S,DR.S.P.RajaGopalan ,"A survey On Web Personalization using Web Usage Mining"in International Research Journal of Engineering,Volume 2 Issue I, March 2015.
  3. Brijendra singh,Hemanth Kumar Singh,"Web data mining research" in International Conference
  4. Petar Ristoski, Heiko Paulheim ,"Semantic Web in Data Mining and Knowledge Discovery" in Journal Of Web Semantics,November 2015.
  5. Tarannum Shaila Zaman,Navisah Islam,Choudhry Farman Ahmed,“Single Pass Approach For Web Content Sequential Pattern Mining" in GSTF Journal On Computing, January 2018.
  6. Swapnil S. Patil, Hridaynath P. Khandagale,“Enhancing Web Navigation Usability Using Web Usage Mining Techniques" in International Research Journal Of Engineering And Technology(IRJET),June 2016.
  7. V. A. Chakkarwar,Amruta A.Joshi,“Semantic Web Mining Using RDF data" in International Journal Of Computer Applications,Volume 133, No 10 ,January 2016.
  8. N. A. Mohoto,A.Memon,A.Teevno,"Extraction Of Web Navigation Patterns by Sequential Pattern Mining" in Sindh University Research Journal,Volume 48 January 2016.
  9. Dirk Burghardt, Moritz Neun, and Robert Weibel,“Generalization Services on the Web Classification and an Initial Prototype Implementation" in Cartography and Geographic Information Science, Vol. 32, No. 4, 2005, pp.257-268.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-04-30

Issue

Volume 5, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Dr. Madhusudanan J, Shivcharan B, Jagan R, Gladson Solomon S, " Web Page Classification Using Sentiment Analysis and Natural Language Processing , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 2, pp.1064-1067, March-April-2019.